Cancer Survival: Principles, Methods and Applications, Short Course

  • N/A
    Application Deadline
  • 5 days
  • Tuition
  • English (take IELTS)
A highly experienced faculty will present a stimulating and intensive one-week course on the principles, methods and applications of cancer survival with population-based data, using lectures, computer-based analytic exercises with real data, review sessions and a session for participants to present their own work or ideas.


London School of Hygiene & Tropical Medicine in collaboration with the International Agency for Research on Cancer (IARC)

Relative survival will be the main approach to analysis, with discussion of recent methodological developments (e.g. net survival) and results.

The methodological concepts of cancer survival will be illustrated by public health and policy applications throughout the week. Results from recent survival studies will be presented and their interpretation discussed.

Methods covered include:

  • population measures of cancer burden (incidence, prevalence, mortality, survival)
  • all-cause (crude), net and relative survival and excess mortality hazard
  • construction of abridged and complete life tables
  • relative survival analysis, including cohort, complete, period and hybrid approaches
  • multi-adjustment of cancer survival for age, stage and other factors
  • impact of data quality, completeness, stage migration, screening and lead-time bias
  • methods of handling missing data in cancer survival analysis
  • avoidable deaths and population "cure"
  • multi-variable modelling of relative survival and comparison with Cox and Poisson approaches

Detailed Programme Facts

Programme Structure

Each participant will receive a certificate of attendance. There is no examination.

The aims of the course are:

  • to teach the main statistical methods for population-based cancer survival analysis
  • to discuss the main controversies in estimation and interpretation of cancer survival
  • to provide students with an intensive learning environment in which most faculty members will attend all sessions of the course, not just their own
  • to provide opportunities for computer-based practical analysis of real cancer data

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Take IELTS test

Academic Requirements

Applicants must have a basic understanding of cancer survival analysis, since this course will include discussion of advanced statistical methods and practical computing, in addition to discussion of the public health applications of cancer survival data.

We do not insist that participants have a qualification in statistics, but some experience is essential in order to take full advantage of the statistical components of the course. All practical sessions will use Stata, therefore some experience with Stata software should be considered essential.

The applied public health elements of the course will be accessible and relevant to all groups.

Tuition Fee

£1,415.00 for participants in high-income countries
£707.50 for participants based in low- and middle-income countries


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